PAX7 Is a Sensitive Marker of Skeletal Muscle Differentiation in Rhabdomyosarcoma and Tumors With Rhabdomyosarcomatous Differentiation in the Female Genital Tract
Bibliographic record
Abstract
In the female genital tract, rhabdomyosarcoma may occur in "pure" form or as a heterologous constituent of a biphasic neoplasm such as carcinosarcoma or adenosarcoma. Discriminating rhabdomyosarcoma from its histologic mimics relies on confirmation of skeletal muscle differentiation by morphology or immunohistochemistry (IHC), which can be challenging to interpret in some cases owing to limited expression. PAX7, a transcription factor expressed in mammalian muscle progenitor cells, has been reported in up to 86% of soft tissue rhabdomyosarcomas by IHC. To determine whether PAX7 IHC could augment current approaches to identify rhabdomyosarcoma in gynecologic malignancies, we assessed PAX7, myogenin, and MyoD1 IHC on whole tissue sections from 100 gynecologic tumors: 50 with rhabdomyosarcomatous differentiation and 50 with features mimicking rhabdomyosarcoma. PAX7 expression was present in 96% (48/50) of gynecologic tumors with rhabdomyosarcomatous differentiation and was absent in all rhabdomyosarcoma mimics; it was more diffusely expressed than myogenin in 16 cases and was positive in a greater percentage of tumor cells in 28 cases. PAX7 and myogenin were typically coexpressed, and no rhabdomyosarcoma exhibited complete absence of both markers; however, 2 myogenin-negative tumors were PAX7-postive. Morphologically, PAX7 localized to the nuclei of primitive-appearing cells, whereas myogenin was observed in maturing rhabdomyoblasts including strap cells. Our findings highlight the utility of PAX7 as a complementary diagnostic marker of rhabdomyosarcomatous differentiation in gynecologic tumors. PAX7 should be used in combination with other markers of skeletal muscle differentiation, namely myogenin, and may be particularly helpful in cases where myogenin and/or MyoD1 expression is limited.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".